مجله پویش در آموزش علوم پایه
سال هشتم شماره 3 (پیاپی 28، پاییز 1401)

The purpose of this study is to design simple and feasible experiments with the least facilities for teaching chemistry concepts in schools of Iran. In this research, some experiments have been used to teach some of the concepts of chemistry in textbooks of the tenth and eleventh grades of high school. The design of experiments in this study was done by using the least available facilities to illustrate that even in the most deprived areas of the country, chemistry can be taught by conducting experiments in order to deepen students' level of learning. Also, due to the importance of conducting experiments and practical activities in students' learning and its application in chemical industries, students should not be deprived of this necessary excuse due to lack of facilities and chemicals. To do this, it is necessary for teachers to participate in in-service courses to learn the design of simple experiments with the least facilities and to use these experiments in their teaching.

One of the deep and intelligent computational methods for classifying a specific quantity is the use of the concept of machine learning. In this paper, we classify paired N-qubit quantum states using a quadratic polynomial invariant as a measure of entanglement. We first propose a general protocol for measuring polynomials of degree 2 of a pure N-qubit state of arbitrary pair. Then, based on machine learning techniques, using the integration of classical neural networks and quantum computations, we construct a non-zero-order polynomial classifier of zero or non-zero degrees, even if the input pattern is incomplete. Given the equality of the criterion of true polynomial entanglement and polynomial inequality of degree 2 for the state X, we consider the GHZ state as the special state of X and show that zero of the polynomial inversion of degree 2 indicates that the state The object is completely detachable and belongs to the class label "0", otherwise the state is intertwined and belongs to the class "1" label

The purpose of this qualitative research is to analyze the professional characteristics based on the author’s lived experiences and to identify the strengths and weaknesses and to improve her competencies in line with professional development and also to interest students in the field of mathematics education. In this research narrative, the coding method of experiences gained by the author during her life was used to collect data. The data analysis method is the thematic analysis method. In this regard, the findings of the research showed that the author’s interest in mathematics has family roots and her friends and teachers contributed to her tendency towards this job. Also, she has mentioned the experiences gained in life and during the educational period, professional development, how to be a teacher in the future (being patient, humorous, not humiliating the student), ideals and commitments (updated information of a teacher, etc.), teacher’s beliefs (teaching students how to think, etc.), her challenges and solutions (managing a busy classroom by giving responsibility to students, etc.), and teacher's principles and theories (multiple intelligences, etc.), and finally she made a promise keep her knowledge updated with the aim of being a lifelong learner.

The purpose of this work is to determine the effectiveness of the ECIRR learning model with the visual puzzle approach to reduce the misunderstandings of the 10th grade experimental science students of Farboud High School, District 2, Shiraz, in the academic year 1400-1401. The research method is semi-experimental and has been carried out as a pre-test and post-test design with a control group. In the experimental group, during 9 sessions, the topic of work and energy was taught using the ECIRR learning model with a visual puzzle approach. On the other hand, in the control group, training has been done traditionally. Students' misunderstandings in the discussion of work and energy have been evaluated with the two factors of attitude and physics performance. In order to collect data, a researcher-made questionnaire was used to check students' attitudes and a teacher-made test was used to check students' performance in physics. Data were analyzed using one-way analysis of covariance. The obtained results showed that there is a significant difference between the experimental group and the control group in performance and attitude towards physics, which confirms the positive effectiveness of the ECIRR learning model with the visual puzzle approach.

In the present research, the structure of the text and the image of the biology chapters of the 11th grade of the second year of 1401-1400 with the model of Seluch and McTigo were analyzed. The statistical population is a book for 11th grade, which was examined in ( text image, and a combination of text and image) and eleven sub-components. The research is descriptive and content analysis in terms of type. The results show the lack of diversity in the text structure from linear and non-linear, and the use of linear structure is observed throughout the book. Also,, less than half of the images are actively related to the text, and on most, the images are presented in color and the share of the image is more than the text but meaningfully proportional to the text. Less than half of the images are seen exactly in the vicinity of the related text. Most of the images have a title and more than half of the images are represented, which makes the comprehensive information more meaningful. In many cases, it is possible to use more appropriate and effective images in explaining concepts and understanding them, to be paid attention to.

This research was conducted with the aim of investigating the effect of the combined planning approach on the level of social skills and mathematical academic progress of students in multi-grade classes in Piranshahr city. The research method was quasi-experimental and pre-test-post-test design with two experimental groups and two control groups. Using multi-stage cluster sampling, two primary schools were randomly selected from two groups of multi-grade schools in Lajan and Central sectors and finally, from each primary school two class of the second period, where the sixth grade was located, was selected. Therefore, the research samples include four classes (60 people), namely two classes of the experimental group and two classes of the control group. To measure the growth rate of students' social skills, a questionnaire developed by Karamati (2013) was used, whose validity was confirmed by experts and reliability was estimated based on Cronbach's alpha coefficient of 0.89, was used. To measure academic progress from the test A teacher-made math lesson with 15 questions designed for the sixth grade was used. In order to analyze data, in addition to descriptive statistics methods, inferential statistics method (ANCOVA) was also used.